EHS Manager

HR Systems and Workforce Analyst

Logistics Analyst

Customer Service Specialist

Cost Accountant

Master Data Manager

Project Manufacturing Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Reliability & Testing Engineer

Responsibilities: EHS Strategy &amp; Leadership: <ul><li>Develop, implement, and maintain a comprehensive EHS management system aligned with company goals and regulatory requirements.&nbsp;</li><li>Integrate EHS strategy into broader business planning and participate in leadership meetings to influence decision-making.&nbsp;</li><li>Lead change management initiatives to build a proactive safety culture across all levels of the organization.</li></ul> Risk Management &amp; Compliance: <ul><li>Conduct and advise on risk assessments, quantify and prioritize risks, and implement effective control measures.&nbsp;</li><li>Ensure compliance with OSHA, EPA, and other relevant local, state, and federal regulations.&nbsp;</li><li>Oversee contractor and visitor safety programs, including onboarding and compliance tracking.</li></ul> Training &amp; Engagement: <ul><li>Design and deliver engaging EHS training programs tailored to various roles and risk profiles.&nbsp;</li><li>Promote employee engagement through behavior-based safety (BBS), ergonomics, and wellness initiatives.&nbsp;</li><li>Champion inclusive safety practices that consider diverse employee needs and backgrounds.</li><li>Emergency Preparedness &amp; Crisis Management: Develop and maintain emergency response plans, conduct drills, and coordinate with local emergency services.&nbsp;</li><li>Lead crisis management efforts, including communication protocols and post-incident reviews.</li></ul> Environmental Sustainability: <ul><li>Implement and monitor environmental sustainability programs, including waste reduction, energy efficiency, and water conservation.</li><li>Audits, Inspections &amp; Continuous Improvement: Conduct regular audits and inspections to identify hazards and ensure compliance.&nbsp;</li><li>Use data analytics and digital tools to track performance, identify trends, and drive continuous improvement.</li><li>Hazardous Materials &amp; Waste Management: Oversee safe handling, storage, and disposal of hazardous chemicals and waste.&nbsp;</li><li>Ensure proper documentation and training related to chemical safety and spill containment.</li></ul> Requirements: <ul><li>Bachelor’s degree in Environmental Science, Occupational Safety, Industrial Engineering, or related field</li><li>7+ years’ experience, including 2+ years of progressive people management experience - (equivalent experience may be considered).</li><li>Proven experience in chemical handling, technical operations, and regulatory compliance.</li><li>Strong knowledge of OSHA, EPA, ISO standards, and other applicable regulations.</li><li>Proficiency in EHS software platforms and data analytics tools. Demonstrated leadership, communication, and team-building skills.</li><li>Ability to manage projects, influence cross-functional teams, and drive cultural transformation.</li></ul>

Overview: <ul><li>The HR Technology and Integration (T&amp;I) organization was established as part of the HR team’s journey through digital transformation.&nbsp;</li><li>Working as part of our Global HR Technology &amp; Integration team this role to Build, implement and improves global HR systems, data, reporting and analytics platform.&nbsp;</li><li>As a product owner you will Develop and improve existing HR systems in partnership with our Global Talent Rewards &amp; HR Services teams to meet business requirements.</li></ul> Responsibilities: <ul><li>Act as a Global Product Owner to support our Global Total Rewards systems &amp; development.</li><li>Partner closely with our Global Total Rewards team to provide product knowledge &amp; solutions.</li><li>Proactively recommend solutions and ideas to help address technical problems that hinder productivity within Total Rewards.</li><li>Collaborates with Total rewards business teams to analyse requirements, develops and implements various solutions &amp; procedures.</li><li>Provides expertise in the analysis, design, development, and implementation of our Global HRIS system &amp; applications.</li><li>Streamline &amp; continuously improve system configuration to support Global Total Rewards team</li><li>Research solutions to support HR programs and processes.</li><li>Acts as a liaison with IT (Internal &amp; External) on technical issues and projects requiring data integration and other technical support.</li><li>Troubleshoots production issues, including problem research and analysis, and performing steps for resolution.</li><li>Documents system specifications, configurations, processes and procedures.</li><li>Partners with IT, HR and business to ensure effective use of methodologies and communication of test strategies, test results and performance through testing teams</li><li>Audits and reviews changes within HRIS to ensure proper controls and separation of duties and assists in establishing new controls, as needed.</li><li>Contributes to training program development and provides Tier 3 end-user support. Partners with COE’s &amp; Shared Services on enhancements, new rollouts, etc.</li><li>Works with external vendors and other service providers to ensure the efficient, accurate, and timely exchange of information</li></ul> Requirements: <ul><li>Bachelor degree (or equivalent); advanced degree preferred.</li><li>Typically requires minimum of 5+ years of SuccessFactors experience with end to end implementation projects</li><li>SuccessFactors certification with experience and expertise in modules like Compensation and Variable Pay</li><li>Hands on experience with SuccessFactors Employee Central (EC)</li><li>Candidate should ideally have been experience in at least 1 previous global / regional implementation • Provided recommendations with half-yearly and periodic system updates</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements. • Desired ITIL Service Management Certified</li><li>Advanced proficiency in MS Office, especially Excel</li></ul>

Responsibilities: <ul><li>Maintain &amp; report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement &amp; action.</li><li>Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds, tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast</li><li>Track attainment to forecast every month, including Pareto analysis of any misses &amp; gap closure plan</li><li>Challenge existing targets &amp; identify opportunities for further improvements by partnering with the Global Logistics &amp; Global Trade Services organizations</li><li>Drive adherence &amp; standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level</li><li>Identify and lead a project(s) that directly contributes to freight and/or duty cost reduction</li><li>Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes</li><li>Collaborate with the Master Data team to review and maintain system parameters in accordance with the latter.</li><li>Lead Slow-Moving / Obsolete inventory cadence &amp; drive actions to completion, including End-of-Life procedure</li><li>Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)</li><li>Create innovation and digitize reports for better data presentation and action determination.</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Masters degree is preferred.</li><li>Proven experience 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul>

Responsibilities: Customers Management: <ul><li>Handle incoming calls and emails from assigned accounts (customers) for various sales inquiries, including information on orders, lead times, incoterms, and stock availability.</li><li>Proactively communicate with customers to ensure understanding and resolution of all order-related issues.</li></ul> Analyse Demand Forecast/ Revenue &amp; Inventory Control: <ul><li>Analyze demand forecasts for assigned accounts (customers) and review/control inventory in accordance with business unit targets.</li><li>Conduct demand planning and upload forecasts to the system, managing replenishment orders and billing for consignment customer consumption.</li><li>Generate forecast and LE reports promptly and accurately for Monthly Sales Revenue.</li><li>Review customers actual demand and forecasts to meet their requirements and conduct comprehensive analysis to avoid excess inventory or non-moving stock.</li></ul> Customer Documentation &amp; File Management: <ul><li>File all relevant sales transactions, including purchase orders, order proof lists, order acknowledgments, shipping documents, shipment reports, customer&nbsp;</li></ul> Shipment Management: <ul><li>Prepare and process shipments according to customer requests.</li><li>Collaborate with Planning/Logistics to ensure on-time delivery based on customers request dates and confirm dates for STR performance.</li><li>Oversee drop-shipment orders and ensure continuous follow-up on shipment status, particularly for critical issues.</li><li>Submit credit releases to finance for held accounts.</li><li>Coordinate with Account Managers and customers to release shipments that are on hold.</li></ul> Payment Management: <ul><li>Follow up on open disputes/invoice discrepancies with Customer, Finance &amp; Sales to ensure the best possible A/R results. If necessary, issue credit/debit notes to resolve discrepancies.</li></ul> Requirements: <ul><li>Bachelor degree in related field.</li><li>5-10 years minimum in customer service/procurement or production planning, proficient in both written and spoken English, PC literate with Microsoft Window software.</li><li>Self-initiative, perseverance, people oriented and able to travel locally and aboard for short assignment</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Role Description: <ul><li>The Master Data Manager will join the Business Unit’s Digital, Data &amp; Technology (DD&amp;T) organization and report directly to the Chief Information Officer (CIO), Industrial &amp; Commercial Transportation (ICT). As part of DD&amp;T, this role is a key enabler of operational excellence, digital transformation, and AI readiness.</li><li>The Master Data Manager will coordinate cross-functional Master Data Owners, define and track data quality KPIs, and ensure master data issues are corrected in a sustainable and scalable manner.</li><li>Rather than executing transactional data maintenance, this role orchestrates standards, transparency, and accountability across the Business Unit, ensuring master data supports business processes, process intelligence, and AI-driven initiatives.</li></ul> Responisbilities: 1. Master Data Governance &amp; Coordination <ul><li>Establish and operationalize a ICT Master Data Governance framework.</li><li>Coordinate nominated Master Data Owners across functions (Operations, Engineering, Finance, Project Management, Commercial, Product Management, etc.).</li><li>Define clear roles, responsibilities, and escalation paths for data ownership.</li><li>Facilitate recurring cross-functional data governance forums and reviews.</li></ul> 2. Data Quality KPI Definition &amp; Monitoring <ul><li>Define measurable KPIs for data accuracy, completeness, consistency, timeliness, and integrity.</li><li>Implement dashboards (in collaboration with DD&amp;T teams) to monitor data health across systems (SAP S/4HANA, Hydra MES, Planisware, Salesforce, SAP IBP).</li><li>Establish target thresholds and continuous improvement plans.</li><li>Ensure transparency of data quality performance to functional leadership.</li></ul> 3. Sustainable Issue Resolution <ul><li>Identify systemic root causes of master data defects.</li><li>Drive sustainable corrective actions with Master Data Owners and process stakeholders.</li><li>Ensure data issues are resolved at process level, not through recurring manual corrections.</li><li>Partner with DD&amp;T Process Automation &amp; Process Intelligence teams to eliminate recurring data.</li></ul> 4. Enable AI &amp; Process Intelligence <ul><li>Ensure master data structures and governance support:</li><li>Advanced analytics and AI use cases</li><li>Process mining and task mining initiatives</li><li>Reliable automation and digital workflows</li><li>Collaborate with the DD&amp;T AI Lab to ensure master data is AI-ready and supports model performance.</li><li>Support data standardization to enable reuse of models and interoperability across functions.</li></ul> 5. Transformation &amp; Continuous Improvement <ul><li>Promote data as a strategic asset within the Business Unit.</li><li>Drive adoption of standardized templates, definitions, and taxonomies.</li><li>Support SAP S/4HANA evolution and system integrations from a data governance perspective.</li><li>Contribute to digital transformation programs by embedding data quality controls early in process design.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Supply Chain, Information Systems, Business, or related field.</li><li>5+ years of experience in Master Data Management, Data Governance, ERP environments, or cross-functional process management.</li><li>Experience working in global, cross-functional manufacturing or industrial environments.</li><li>Strong understanding of ERP systems (SAP S/4HANA preferred) and enterprise data flows.</li><li>Experience defining and tracking data quality KPIs.</li><li>Knowledge of data analytics environments (e.g., Databricks) is a plus.</li><li>Strong facilitation, stakeholder management, and influencing skills.</li></ul>

Role Description: <ul><li>The Project Manufacturing Leader is a Project Core Team Member, in charge of the industrialization of all client production lines involved in a project Value Stream, across several client plant locations when applicable.</li><li>The PML is responsible for achieving key targets in terms of Industrial Timing, Capacity, Quality and Production Costs in line with the Planisware Work packages and deliverables on time completion (or Project LeanPD milestones) requirements. His/Her role is to define and implement the best Production System and line Concepts while ensuring that all client Global Auto industrial strategy and standards are followed.</li><li>PML involvement with a new project starts at RFQ, between G0 and G1 and lasts until SOP + 3 months.</li><li>The PML reports directly to the regional ME organization, to the PML Manager/Director and functionally to the Project Manager.</li></ul> Responsibilities : Design for Manufacturing : <ul><li>The PML participates in the Product Design activities led by the Product Design Engineering Team, contributing towards reaching a product design compliant with client Industrial Targets and allowing maximum Production Profitability.</li><li>He/She leads Technology and comparative studies in case of multiple options and ensures that Process Feasibility is optimal and validated by experts.</li></ul> Footprint and Make or Buy Studies: <ul><li>With the support of his management and considering inputs from the project team, the PML conducts a preliminary footprint analysis, including Make or Buy comparative Studies.</li><li>The PML submits the proposal to the Regional/Global Industrial Strategy team for final decision.</li></ul> Production System Definition: <ul><li>(Plant: Production System, Physical lay-out) In the early program Development phase, the PML organizes, leads and follows-up the Lean Industrial Design workshop activity, involving all Project and Plant Team functions, under coordination of the ME or Launch Director.</li><li>Based on the initial industrial assumptions, he/she builds the initial Plant internal Material &amp; Information Flow Diagram (MIFD)/VSM, Line lay-out, Plant lay-out with Production System and Logistics areas footprint calculations.</li><li>Before Program CER/Capex Committee Meeting, he/she leads the Tool and machine Design Workshop, out of which plant delivers the detailed</li><li>Production Line layout and Advanced VSM. Confirm the proposed Production System including traceability and conformity.</li><li>PML leads the assessment of any equipment refurbishment needs for the project relying on the appropriate internal or external experts and validate the effective equipment refurbishment timing and cost with vendors.</li><li>Job Description The PML identifies any Industrial risk, defines a back-up plan for critical processes and provides Industrial Impact on any Engineering Change Request.</li></ul> Process FMEA: <ul><li>PML participates in the definition of Key Product Characteristics (KPC) and Key Control Characteristics (KCC) He/She coordinates and leads the PFMEA methodology during program phase with active participation of Process Experts, including PLTL or Process Engineer.</li><li>Once the initial PFMEA is completed, ensure that actions are implemented with all updates included prior to handover to the Plant at Mass Production Trial (MPT).</li></ul> CER Committee: <ul><li>(Product Manager initially presenting because of Commercial discussion then Project discussion) PML ensures Capacity analyses are completed prior to adding new equipment to the project.</li><li>He/She optimizes Project Investment through Reuse, Bundling, Massification etc. He/She builds and monitors the detailed Project Investment List.</li><li>He/She prepares and leads the Project CER/Capex industrial Presentation, submitting CER request and approval follow-up after Project and Plant Managers have validated the investments.</li><li>Once CER is presented, he/she ensures timely CER submission/validation and follow-up in line with the industrial timing.</li></ul> Industrial Timing: <ul><li>PML builds, updates &amp; monitors the complete Project Industrial timing plan for tools, equipment, Packaging, traceability and associated processes to meet all internal (MPT) and external Customer milestones on time and right first time, from specification to final acceptance.</li><li>He coordinates Project Product Engineers and Supply Chain Engineers within the Project Team and track Plants readiness status in collaboration with the Plant PLTL.</li><li>The PML coordinates Traceability Implementation, Machine and tooling acceptance, tracking improvement actions with a robust PDCA where needed. Responsible to organize Tooling &amp; Equipment progress status reviews involving the plant PLTL.</li></ul> Industrial Performance <ul><li>PML defines and tracks main Industrial Performance indicators: - MMR and Work Content - Scrap Process rate - Process Capabilities - Capacity Status and Process Cycle Time, including Equipment Utilization Monitoring (data from plant) - Rework monitoring - Material Yield - Launch Costs consolidated in the Business Plan - Project Investment PML ensures that the most suited technical solutions for Project Financial KPI improvement are investigated through standard, automation, digitalization with payback analysis.</li></ul> PAC reviews: <ul><li>Reporting PML reports progress status on Manufacturing Work Packages and related program milestones. All PMLs participate in the PML -or regional ME Department weekly routine.</li></ul> Requirements: <ul><li>Masters degree in engineering, or equivalent professional experience.</li><li>Minimum 5 years of proven experience in production or industrial area preferably in automotive sector.</li><li>Strong ability to work in an international and multicultural environment with complex matrix organization. Team building and positive mindset.</li><li>Leadership with ability to interact and coordinate complex subjects with technical teams. Proactive with a vision of long-term impact and problem anticipation.</li><li>Knowledge in project management process, Quality Control tools in production, Lean Line Design.</li><li>Result oriented with strong written, verbal communication skills. Fluent English required.&nbsp;</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Break down high-level Reliability and Validation Strategies into detailed, executable test plans; define test sequencing, sample allocation, logistics, and schedule alignment.</li><li>Coordinate with internal R&amp;T labs, shared labs, suppliers, and third-party test houses for test execution.</li><li>Manage test readiness including sample build status, configuration control, and documentation completeness.</li><li>Coordinate sample logistics, shipment, and handling with manufacturing, suppliers, and test labs.</li><li>Support PO release, cost tracking, and budget adherence for validation and reliability testing.</li><li>Maintain accurate test status, schedules, costs, and results in the project management system.</li><li>Create, maintain, and issue detailed test plans, validation/reliability test reports, and complete auditable documentation packages.</li><li>Ensure traceability between test requirements, execution, and reported results.</li><li>Interface with Reliability Engineers, PDE, MPDE, Quality, Manufacturing, and Procurement teams.</li><li>Proactively identify risks, schedule constraints, and execution gaps; escalate as needed.</li></ul> Requirements: <ul><li>3–6 years of experience in test coordination, validation testing, reliability testing, or engineering project support.</li><li>Solid understanding of reliability and validation test environments (environmental, mechanical, electrical).</li><li>Experience coordinating with internal labs, external test houses, and suppliers.</li><li>Strong organizational and project tracking skills with high attention to detail.</li><li>Ability to manage multiple tests and priorities simultaneously.</li></ul> Preferred / Nice to Have: <ul><li>Hands-on background in reliability or validation testing.</li><li>Familiarity with industry standards: EIA, IEC, IPC, ISTA, or customer-specific validation requirements.</li><li>Experience with project management or test tracking systems.</li><li>Background supporting data center power, cable, or connector products.</li></ul>

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166 sap system Jobs found

EHS Manager

HR Systems and Workforce Analyst

Logistics Analyst

Customer Service Specialist

Cost Accountant

Master Data Manager

Project Manufacturing Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Reliability & Testing Engineer

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166 sap system Jobs found

EHS Manager

HR Systems and Workforce Analyst

Logistics Analyst

Customer Service Specialist

Cost Accountant

Master Data Manager

Project Manufacturing Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Reliability & Testing Engineer

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.